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ESTRO 35 2016 S3

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radiotherapy (IGRT), has highlighted deficiencies in target

delineations based on CT. Several studies have shown large

variability in target definitions based on CT, for multiple

treatment sites. To address this issue, magnetic resonance

imaging (MRI) has made its way into the clinical routine at

modern radiotherapy departments over the last years. This,

however, has presented several new problems that need to

be solved.

The traditional method of including MR information in the

radiotherapy process is as a complement to the CT. To

accomplish this in an integrated and accurate fashion, the

images must be placed in a common coordinate system

through image registration. This process in itself introduces

new uncertainties into the treatment chain, which must be

quantified and minimized. Another method of using MR

information is to base the entire treatment on MR and

exclude the CT altogether. This alleviates uncertainties that

stem from the image registration process, but introduces

another set of problems. To perform accurate dose

calculations, heterogeneity corrections based on CT data

have been the clinical standard for many years. MR data does

not provide information that can be used for such

corrections; however, much research effort has been

invested in creating valid photon attenuation maps from MR

data over the last years.

Whatever method employed, MR for radiotherapy purposes

also imposes practical issues that need to be addressed. The

patient needs to be positioned in the same way that will be

employed during the radiotherapy itself. This includes a flat

table top and immobilization devices such as cast masks and

tilted boards, which may not be MR compatible. For example,

many radiotherapy fixation devices can contain metal parts

such as nuts and bolts, which cannot be used in the MR.

Plastic replacements must be used instead. Also, the

standard MR coils will often not accommodate the

immobilized patient, which forces MR adopters to acquire

special coils or coil holders for flexible coils to be able to

scan the patient in the radiotherapy treatment position.

MR images do not have the same geometric integrity as CT,

which is an issue in the radiotherapy setting. The image

distortions can come from the machine itself or from the

patient that is in the machine. Machine specific distortions

are caused by inhomogeneity in the main magnetic field or

gradient non-linearity. Patient specific distortions are mostly

caused by susceptibility effects. The machine specific

distortions can be measured, modelled and corrected for to a

certain extent, while patient specific distortions often needs

to be handled by choosing imaging parameters wisely.

In the end, the images acquired from the MR scanner must be

of sufficient quality to allow physicians to base the

radiotherapy treatment on them. MR for radiotherapy has a

different set of demands on the images than their diagnostic

counterparts, for example slice thickness and gap, as well as

other parameters. Also, the vast variety of MR contrasts may

be an initial obstacle for radiotherapy oncologists. Many

studies have shown differences in target definitions based on

CT and MR images, and the effects of these changes in target

volumes have not yet been studied in clinical trials.

Teaching Lecture: Patient specific quality assurance in

proton therapy

SP-0007

Patient specific quality assurance in proton therapy

R. Amos

1

University College London Hospitals NHS Foundation Trust,

Department of Radiotherapy Physics, London, United

Kingdom

1

Interest in proton therapy continues to grow worldwide, yet

access to proton therapy facilities remains relatively low

compared to those offering conventional radiotherapy. As a

consequence, pressure exists to maximize patient throughput

in each facility. Most facilities operate 24 hours per day, 7

days per week to meet the demands of the clinical load and

to complete machine maintenance, routine quality

assurance, and patient specific quality assurance. With the

advent of advanced delivery techniques such as pencil beam

scanning, the complexity of patient specific quality assurance

is increasing. However, there is a need to improve efficiency

of these tests whilst maintaining accuracy.

This presentation will summarize contemporary patient

specific quality assurance practice for both passive scattering

and pencil beam scanning proton therapy, and describe off-

line tests that potentially enable improved efficiency.

Teaching Lecture: Balancing toxicity and disease control in

the evolution of radiotherapy technology

SP-0008

Balancing toxicity and disease control in the evolution of

radiotherapy technology

B. O'Sullivan

1

Princess Margaret Cancer Centre, Toronto, Canada

1

, S. Huang

2

2

Princess Margaret Cancer Centre/University of Toronto,

Radiation Oncology, Toronto, Canada

Radiotherapy (RT) is an effective option for treatment of

many cancers. It offers organ and functional preservation and

enhances surgical outcomes when administered pre-

operatively or post-operatively, and for some diseases, such

as nasopharyngeal cancer, it is often the only curative

option. Disease control is generally of paramount importance

to most patients during the urgent point of decision-making

following diagnosis. However toxicity will almost certainly

emerge as being just as relevant in the aftermath of

treatment and in the subsequent follow-up period. In

essence, when a patient dies of toxicity or treatment-related

complications, it is just as tragic as dying of disease. The

long-term result of RTOG 9111 and 9501 suggest that

treatment -related deaths are blunting originally observed

difference in cancer-related outcome. The recent RTOG 0617

trial was designed to test whether a higher RT dose (74 Gy vs

60 Gy) +/- cetuximab could confer a survival benefit but

showed an unexpected therapeutic “disadvantage” with

higher RT dose attributable to significant acute and late

toxicities. These findings highlight the importance of

balancing toxicity and disease control to optimize

therapeutic gain. Several strategies have been employed to

mitigate toxicities, such as respecting the biology of

radiation injury by altered dose fractionation (typically using

smaller than conventional fractions), or optimising

radiotherapy technical delivery to reduce dose to vulnerable

anatomy. Implementing novel RT technologies need to be

closely monitored to prove clinical benefit. Historical lessons

have shown that putative benefits may not always transfer to

real clinical advantages since many unforeseen factors may

modify potential anticipated gains. While modern RT

technologies, such as IMRT-IGRT, adaptive, and IMPT provide

opportunities to reduce RT late toxicity by providing more

conformal dose distribution to spatially avoid normal tissue,

the steps to achieve this are complex. One needs to

appreciate many diverse factors. These include radiobiology

of normal tissue (dose/constraints), optimal imaging quality

and registration, systematic quality control involving “target”

delineation to delivery, and knowledge of a variety of

inherent pitfalls in the process(e.g. poor delineation, dose

dumping, erratic planning, tumor or normal tissue

deformation, and set up uncertainties that may emerge

throughout the treatment course). For example, beam path

toxicities have been reported due to “dose dumping” from

parotid-sparing IMRT in head and neck cancer. Increased

local failure has been observed when delivering tight margin

carotid-sparing partial organ irradiation for T2 glottic cancer

using vertebrae rather than laryngeal soft tissue as the image

guidance surrogate. Adaptive radiotherapy appears to be

feasible in some situations but the therapeutic advantages

are yet to be proven and may be tedious and inefficient

under the current technical configurations of many

departments. Also, while intensity-modulated proton therapy

(IMPT) is an attractive emerging approach that is probably

able to spare normal tissue, indications and clinical benefit

are also largely unproven at this time. The path to

implementing these approaches will require rigorous